Senior AI Engineer - Search & Recommendation - Patient Team (x/f/m)
Doctolib · Paris, Paris, France · GB
Health Tech
On-site
Not yet analysed
Demand90
Career growth85
Healthcare fit25
Remote potential30
5-year outlook
Competitive for senior AI engineering roles in European health tech, with strong growth potential as AI adoption in healthcare expands. Exact figures depend on location and company, but senior engineers at scale-ups like Doctolib typically earn above-market rates.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-09-17
Intelligence details
Why this is worth applying to
Clinicians without a strong software engineering background should not apply, as the role requires deep production engineering experience. However, clinicians with dual MD/CS or informatics backgrounds and hands-on ML experience could find this a high-impact opportunity to shape patient-facing AI at scale.
Who should apply
Clinicians with significant software engineering experience, especially those who have built search/recommendation systems or worked in health informatics and ML. Also relevant for healthcare graduates with a strong CS/ML portfolio.
CV angle
Highlight any clinical domain knowledge as an asset for understanding patient needs and improving relevance, but lead with engineering achievements: production systems, retrieval pipelines, evaluation metrics, and cloud deployment. Frame clinical experience as domain expertise that differentiates you from generic engineers.
Skills to highlight
- Search/recommendation systems
- Vector search and semantic retrieval
- RAG and LLM integration
- AWS and ECS deployment
- Python and ML frameworks
- Evaluation metrics (nDCG, MAP, Recall@k, MRR)
- A/B testing and observability
- Data feedback loops
Role summary
Senior AI Engineer at Doctolib to design and build the search and recommendation architecture for their patient platform, improving how 100M patients find and access care across Europe.
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